报告时间和地点： 2018年7月18日（周三） 下午4:00-5:00 院楼542
7月18日，我院联合超算中心长沙中心，将组织加拿大阿尔伯塔大学知名教授Witold Pedrycz,将为我校以及周边对AI技术感兴趣的老师同学，以“Granular Computing”为主题，为大家带来一场如何持续创新，释放AI潜力的主题报告。欢迎大家积极参加！
Witold Pedrycz长期从事智能计算、信息处理、模糊系统、人工智能、遗传算法等相关领域的研究，对混杂智能系统的智能学习、知识挖掘与表达领域的研究做出了重要贡献，研究工作得到了世界范围内同行的广泛关注和认可。他是IEEE会士、加拿大皇家学会会士，并担任历年IFSA/NAFIPS World Congress、IEEE Int. Conference on Fuzzy Systems、IEEE Congress on Computational Intelligence等智能计算领域知名会议主席或委员。自2000年至今担任了IEEE Trans. SMC、IEEE Trans. Fuzzy Systems等多个国际知名期刊的编辑和IEEE Trans. SMCA、Information Sciences杂志主编。
Granular Computing: Pursuing New Frontiers of Artificial IntelligenceWitold PedryczDepartment of Electrical & Computer EngineeringUniversity of Alberta Edmonton AB CanadaandSystems Research Institute Polish Academy of Sciences, Warsaw, PolandAbstract
Artificial Intelligence (AI) has been enjoying a great deal of interest in the recent years owing to its successful applications reported in various areas including robotics, computer vision, and a plethora of systems engaging natural language processing.
We advocate that bringing the concepts, methodologies, and formal frameworks of Granular Computing into the area of AI can open new and promising avenues of further research and applications. Granular Computing is defined as a coherent and unified platform of acquiring, processing and communication of information granules delivering a highly needed abstraction mechanism. The talk is self-contained: the principles and formalisms of information granules are discussed in detail. It is shown that information granularity assumes an important position in bridging the gap between symbolic and sub-symbolic way of processing realized in AI.The roles of information granules in various faculties of AI such as knowledge representation, concept formation and their hierarchical organization, problem solving mechanisms are elaborated in detail. Witold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. Witold Pedrycz has been a member of numerous program committees of IEEE conferences in the area of fuzzy sets and neurocomputing. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. He is a recipient of the IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, and a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society. His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery and data science, fuzzy control, pattern recognition, knowledge-based neural networks, relational computing, and Software Engineering. He has published numerous papers in this area. He is also an author of 17 research monographs and edited volumes covering various aspects of Computational Intelligence, data mining, and Software Engineering. Dr. Pedrycz is vigorously involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer). He serves on an Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of international journals.
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